AIエージェント
github-mcp-server
GitHub's official MCP server — let AI tools work with repos, issues and pull requests
★ 33.4k スターMIT
ガイドを見る →ghidra-mcpは、bethingtonが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: bethington/ghidra-mcp）。GitHubスターは4,877、フォークは229で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
Ghidra MCP server with 200+ tools that let AI assistants drive real reverse-engineering work
Decide whether you will analyze binaries in the Ghidra GUI or run the headless server for automated/CI analysis.
Install Ghidra, Java 21, and Python 3.10+ (Maven 3.9+ or the bundled Gradle wrapper for builds).
Clone the repo and use the setup tool to run preflight, install prerequisites, build, and deploy into your Ghidra installation.
Start Ghidra (or the headless server), connect your AI client to the bridge, and run a first function-documentation workflow.
A comprehensive API surface covering decompilation, call graphs, cross-references, memory inspection, and more.
Rename, retype, comment, and create structures — with convention enforcement (auto-fix, warn, or reject) keeping names and types consistent.
P-code emulation to run functions in isolation, plus live debugger integration with breakpoints, stepping, registers, and memory reads.
SHA-256 function-hash matching propagates documentation across binary versions automatically.
Bulk renaming, commenting, and typing with far fewer API calls, plus atomic transactions and configurable timeouts.
Run inside the Ghidra GUI, headless for Docker/CI pipelines, and against shared Ghidra Servers with version-control workflows.
Clone the project and enter its directory.
git clone https://github.com/bethington/ghidra-mcp.git
cd ghidra-mcpRun the setup tool's preflight against your Ghidra install, install prerequisites, and build (adjust the Ghidra path to your machine).
python -m tools.setup preflight --ghidra-path ~/ghidra_12.1.4_PUBLIC
python -m tools.setup ensure-prereqs --ghidra-path ~/ghidra_12.1.4_PUBLIC
python -m tools.setup buildDeploy the extension; it installs into Ghidra, starts it, and runs MCP health checks.
python -m tools.setup deploy --ghidra-path ~/ghidra_12.1.4_PUBLICDeveloper bethington, who describes it as built by a reverse engineer for daily use on real binaries; it is community-maintained and distinct from the NSA's Ghidra project itself.
Yes — the server is Apache-2.0 licensed, and Ghidra itself is free and open source. You supply your own AI client/model access.
The server itself needs no key, but the AI client you connect (for example a commercial coding assistant) may require its own subscription or API key.
The README positions it as the most comprehensive option — 209 tools with write access, emulation, debugging, and Ghidra Server support, versus the handful of mostly read-only tools in simpler bridges.
Install Ghidra 12.1.4, Java 21, and Python 3.10+, clone the repo, and run the `python -m tools.setup` preflight, build, and deploy sequence from the README.
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